Forecasting long-term precipitation for water resource management: a new multi-step data-intelligent modelling approach

Ali, Mumtaz, Deo, Ravinesh C, Xiang, Yong, Li, Ya and Yaseen, Zaher Mundher 2020, Forecasting long-term precipitation for water resource management: a new multi-step data-intelligent modelling approach, Hydrological sciences journal, vol. 65, no. 16, pp. 2693-2708, doi: 10.1080/02626667.2020.1808219.

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Title Forecasting long-term precipitation for water resource management: a new multi-step data-intelligent modelling approach
Author(s) Ali, MumtazORCID iD for Ali, Mumtaz orcid.org/0000-0002-6975-5159
Deo, Ravinesh C
Xiang, YongORCID iD for Xiang, Yong orcid.org/0000-0003-3545-7863
Li, Ya
Yaseen, Zaher Mundher
Journal name Hydrological sciences journal
Volume number 65
Issue number 16
Start page 2693
End page 2708
Total pages 16
Publisher Taylor & Francis
Place of publication Abingdon, Eng.
Publication date 2020
ISSN 0262-6667
2150-3435
Keyword(s) Science & Technology
Physical Sciences
Water Resources
multi-step model
precipitation forecasting
large-scale climate indices
non-dominated sorting genetic algorithm (NSGA)
singular value decomposition (SVD)
random forest (RF)
water resources management
Language eng
DOI 10.1080/02626667.2020.1808219
Indigenous content off
Field of Research 0406 Physical Geography and Environmental Geoscience
0905 Civil Engineering
0907 Environmental Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30141038

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